tab:Middlebury2014accuracy does not yield any satisfying results. This, however, is not surprising, since we have only used quarter of the image resolution to compute the results and up-sampled them by a factor of 4 for evaluation, introducing a lot of errors due to interpolation. As stated by [1]}, the aim of this benchmark is on providing new challenges for modern stereo algorithms in terms of image resolution, accuracy and scene complexity, and not necessarily on the evaluation of optimizations with respect to computational efficiency and run-time.
Nonetheless, the accuracy in the ground truth and the evaluation protocol of the Middlebury 2014 stereo benchmark allows for an evaluation of the improvement gained by a subpixel disparity refinement as done in the following section.
